385 10 20655 https://www.socictopen.socict.org/files/original/5e4e02b717938c3e29f739bcfffe89cb.pdf f9f86781d352cf74efbc2be521c7cb24 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Effects of COVID-19 Infection during Pregnancy and Neonatal Prognosis: What Is the Evidence? Creator An entity primarily responsible for making the resource Isabel Amélia Costa Mendes, Ana Fátima Carvalho Fernandes, Denise de Andrade, Alvaro Francisco Lopes de Sousa, Evandro Watanabe, Inês Fronteira, Layze Braz de Oliveira, Herica Emilia Félix de Carvalho, Guilherme Schneider, Emerson Lucas Silva Camargo Description An account of the resource Background: This study’s aims are to assess the current evidence presented in the literature regarding the potential risks of COVID-19 infection among pregnant women and consequent fetal transmission. Methods: a systematic literature review assessing papers published in the most comprehensive databases in the field of health intended to answer the question, “What are the effects of COVID-19 infection during pregnancy, and what is the neonatal prognosis?” Results: 49 papers published in 2020 were eligible, presenting low levels of evidence. A total of 755 pregnant women and 598 infants were assessed; more than half of pregnant women had C-sections (379/65%). Only 493 (82%) infants were tested for SARS-CoV-2, nine (2%) of whom tested positive. There is, however, no evidence of vertical transmission based on what has been assessed so far, considering there are knowledge gaps concerning the care provided during and after delivery, as well as a lack of suitable biological samples for testing SARS-CoV-2. Conclusions: We cannot rule out potential worsening of the clinical conditions of pregnant women infected with SARS-CoV-2, whether the infection is associated with comorbidities or not, due to the occurrence of respiratory disorders, cardiac rhythm disturbances, and acid-base imbalance, among others. We recommend relentless monitoring of all pregnant women in addition to testing them before delivery or the first contact with newborns. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Pregnancy, Mother-to-child transmission, SARS-CoV-2, COVID-19, fetal transmission Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17114176 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/60bb5d3991508bf15ac53c43b060c3e3.pdf dd61d9a2a3eb00958d40486f11231d50 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Inhibitory Effect of Curcumin on Virus-Induced Cytokine Storm and Its Potential Use in the Associated Severe Pneumonia Creator An entity primarily responsible for making the resource Ying Ying, Ziteng Liu Description An account of the resource Coronavirus infection, including SARS-CoV, MERS-CoV, and SARS-CoV2, causes daunting diseases that can be fatal because of lung failure and systemic cytokine storm. The development of coronavirus-evoked pneumonia is associated with excessive inflammatory responses in the lung, known as “cytokine storms,” which results in pulmonary edema, atelectasis, and acute lung injury (ALI) or fatal acute respiratory distress syndrome (ARDS). No drugs are available to suppress overly immune response-mediated lung injury effectively. In light of the low toxicity and its antioxidant, anti-inflammatory, and antiviral activity, it is plausible to speculate that curcumin could be used as a therapeutic drug for viral pneumonia and ALI/ARDS. Therefore, in this review, we summarize the mounting evidence obtained from preclinical studies using animal models of lethal pneumonia where curcumin exerts protective effects by regulating the expression of both pro- and anti-inflammatory factors such as IL-6, IL-8, IL-10, and COX-2, promoting the apoptosis of PMN cells, and scavenging the reactive oxygen species (ROS), which exacerbates the inflammatory response. These studies provide a rationale that curcumin can be used as a therapeutic agent against pneumonia and ALI/ARDS in humans resulting from coronaviral infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Curcumin, Pneumonia, lung injury, coronavirus, Cytokine storm Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fcell.2020.00479 Source A related resource from which the described resource is derived Frontiers in Cell and Developmental Biology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) https://www.socictopen.socict.org/files/original/5a084cc1a5c05014a8e255d15127decf.pdf d03c5bfaf79bd2979462db84a7abf82f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus: good or bad news for ocular diseases? Creator An entity primarily responsible for making the resource Frédéric Dutheil, Frédéric Chiambaretta, Valentin Navel Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.1136/bmjophth-2020-000495 Source A related resource from which the described resource is derived BMJ Open Ophthalmology Publisher An entity responsible for making the resource available BMJ Publishing Group Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ophthalmology https://www.socictopen.socict.org/files/original/37f37625f3b94238254b83c39e29a526.pdf b12ff07549aee17768ebf587a9954bbd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Psychological and social effects of COVID-19 pandemic on obstetrics and gynecology employees Creator An entity primarily responsible for making the resource Mustafa Tekin, Alpay Tuncar, Navdar Doğuş UZUN, Emre SERTEL Description An account of the resource Aim: COVID-19 pandemic affected most health care professionals and to the best of our knowledge, there has not been any studies on the gynecology and obstetrics department workers in the literature. In our study, we aim to investigate the psychological and social effects of the COVID-19 epidemic on the healthcare workers serving in the gynecology and obstetrics department and to help healthcare professionals improve their physical and mental health.Methods: This cross-sectional study was conducted among healthcare professionals working in obstetrics and gynecology clinics in Mardin province. It was carried out in Mardin State Hospital and Kızıltepe State Hospital, which are considered “Pandemic Hospitals”. All participants received Sociodemographic Data Form, Psychological Symptom Screening Test (SCL-90-R), Beck Anxiety Inventory and Short Psychiatric Rating Scale. These evaluation scales were applied to 13 doctors, 52 midwives and 38 nurses working in Gynecology and Obstetrics Clinics in total. They were compared in terms of occupation, gender, and age, as those under or equal to 29 (≤29) years and over 29 years (>29) of age. Twenty-nine was picked because it was the mean age of the group.Results: Although differences did not reach statistical significance, anxiety, hostility, and phobic anxiety were higher in participants over the age of 29 years (P=0.472, P=0.549, P=0.776, respectively). According to profession groups, only phobic anxiety scores were higher among doctors (P=0.373), and somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, paranoid ideation, psychoticism, eating and gastrointestinal symptoms (GIS) were higher in midwives (P=0.166, P=0.624, P=0.531, P=0.321, P=0.147, P=0.205, P=0.359, P=0.490, P=0.696, P=0.557, respectively). Conclusion: COVID-19 will undoubtedly have psychological consequences which may be permanent in healthcare professionals. Frontline employees will be at risk, especially in departments with emergency services. Actions are needed to alleviate the effects of COVID-19 on mental health by protecting and promoting the psychological well-being of healthcare workers during and after the outbreak. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Anxiety, healthcare professionals, Sağlık Çalışanları, Anksiyete, COVID-19, coronavirus pandemic, korona virüs pandemisi Identifier An unambiguous reference to the resource within a given context DOI: 10.28982/josam.735384 Source A related resource from which the described resource is derived Journal of Surgery and Medicine Publisher An entity responsible for making the resource available Journal of Surgery and Medicine Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Surgery, Medicine (General), Medicine https://www.socictopen.socict.org/files/original/df830074abb11718870fe799cfc9c486.pdf b180c8cc54d52c410ba9a042cbb23532 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Chest imaging features of COVID-19 pneumonia Creator An entity primarily responsible for making the resource Petru E. MUNTEAN, Cristina G. NECULCEA Description An account of the resource On 18th of April 2020, a 49-year-old woman developed a fever of 38.40C, with no other symptoms. After taking oral nonsteroidal anti-inflammatory agents for 2 days, the temperature returned to normal. On 20th of April 2020, she complained of persistent dry cough, sore throat, ageusia, anosmia and chest distress. The next day, she presented to the Emergency Department of Arges County Hospital, Pitesti, Romania. She divulged that she had been in close contact with a friend, who had been recently confirmed with the diagnosis of COVID-19. A high-resolution computed tomography (CT) of the chest was performed, that revealed multiple images of patchy ground-glass opacities in bilateral lower lobes (Figure 1).Given the close contact history and imaging findings, she was admitted as a suspected case of SARS-CoV-2 infection. On admission, physical examination unveiled normal vital signs, with oxygen saturation of 96% while breathing ambient air, lung auscultation normal. The antigen test for influenza was negative. Arterial blood gas analysis pointed out a pO2 of 103 mmHg, potassium 3.3 mEq/L, calcium 1.09 mmol/L and glucose 113 mg/dL. The blood routine tests revealed: white blood cell count 3.99 10^9/Liter, red blood cell count 6.41 10^12/Liter, hemoglobin 13.4 g/dL, hematocrit 40.1%, neutrophils 1.99 10^9/Liter, lymphocytes 39.9%, D-dimers 0.526 ug/mL, troponin T 7.22 ng/L, ferritin 192 ng/mL, procalcitonin 15 ug/L, creatine kinase-MB 27 U/L, lactic acid dehydrogenase (LDH) 481 U/L, fibrinogen 455 mg/dL, normal liver and renal function, normal prothrombin time. The electrocardiogram was normal. On 22th of April, the lab confirmed that the oropharyngeal swab test of SARS-CoV-2 by qualitative real-time reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assay was positive. After seven days of symptomatic treatment and hydroxychloroquine therapy, the patient’s respiratory symptoms significantly improved. The dynamics of high-resolution CT of the chest revealed systematic absorption of lung lesions (Figure 2). After two consecutive (24 hours apart) oropharyngeal swab tests of SARS-CoV-2 RNA negative, the patient was discharged on 30th of April, with the indication for home quarantine for at least 14 days. SARS-CoV-2 RNA by oropharyngeal swab remained negative in the follow-up visit on 13th of May 2020.Take home messages:The accuracy of chest CT in symptomatic patients with COVID-19 is high, but used as a single diagnostic test, CT can not accurately diagnose or exclude coronavirus infection and should not be relied upon as a screening or diagnostic tool for COVID-19 pneumonia. Chest CT is rather helpful in evaluating the complications of COVID-19 and is indicated in patients with COVID-19 and worsening respiratory symptoms. The most common imaging findings are of an atypical or organising pneumonia, with bilateral involvement, especially of the lower lobes.Point of care lung ultrasound may be useful for the diagnosis and can detect abnormalities even in asymptomatic patients.The definitive diagnostic test for SARS-CoV-2 infection is the RT-PCR test. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Chest imaging, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: doi.org/10.31688/ABMU.2020.55.2.24 Source A related resource from which the described resource is derived Archives of the Balkan Medical Union Publisher An entity responsible for making the resource available Balkan Medical Union Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General), Medicine https://www.socictopen.socict.org/files/original/7f0f10c63f6ee84e96c3911107e23f9a.pdf b232a3ce28818c910f2de9bac61b6d6e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Antimicrobial Photodynamic Therapy in the Control of COVID-19 Creator An entity primarily responsible for making the resource Maria G. P. M. S. Neves, Adelaide Almeida, M. Amparo F. Faustino Description An account of the resource Antimicrobial photodynamic therapy (aPDT), using well known, safe and cost-effective photosensitizers, such as phenothiazines, e.g., methylene blue (MB), or porphyrins, e.g., protoporphyrin-IX (PP-IX), might help to mitigate the COVID-19 either to prevent infections or to develop photoactive fabrics (e.g., masks, suits, gloves) to disinfect surfaces, air and wastewater, under artificial light and/or natural sunlight. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource disinfection, control, coronaviruses, Antimicrobial photodynamic therapy, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/antibiotics9060320 Source A related resource from which the described resource is derived Antibiotics Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Therapeutics. Pharmacology https://www.socictopen.socict.org/files/original/46f3128ee1328edaaa86746291e4bbc0.pdf c1fe58e7cdf90c750e932e849fbb0fef Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exercising in Times of Lockdown: An Analysis of the Impact of COVID-19 on Levels and Patterns of Exercise among Adults in Belgium Creator An entity primarily responsible for making the resource Veerle De Bosscher, Jeroen Scheerder, Erik Thibaut, Bram Constandt, Annick Willem, Margot Ricour Description An account of the resource Countries all over the world implemented lockdowns to counteract COVID-19. These lockdowns heavily limited people’s exercise possibilities. At the same time, experts advocated to remain physically active to prevent future health problems. Based on an online survey, this study examines adults’ exercise levels and patterns during the COVID-19 lockdown in Belgium. Ordinal logistic regression analyses of 13,515 valid and population-weighted responses indicate a general increase in exercise frequencies, as well as in sedentary behavior. Except for people aged 55+, previously low active adults self-reported to exercise more during the lockdown. Among the people who were already high active before COVID-19, those above 55 years old, those with low education, those used to exercise with friends or in a sport club, and those who were not using online tools to exercise, self-reported to exercise less during the lockdown. Having less time, sitting more, and missing the familiar way and competitive element of exercising were the main reasons for a self-reported exercise reduction. Given the health risks associated with physical inactivity, results imply that governments should consider how those who were not reached can be encouraged to exercise during a lockdown. After all, additional COVID-19 lockdowns might be implemented in the future. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Health promotion, physical exercise, sport participation, Pandemic, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17114144 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/74c7df4c0ff645da5c16fec602495ffb.pdf 3eb1a86de5c1106502c89b4e63825a2c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique Creator An entity primarily responsible for making the resource B Datta, S. K. Tamang, P.D. Singh Description An account of the resource Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Covid-19 number of rising cases and death cases in India, USA, France, and UK, considering the progressive trends of China and South Korea. In this paper, three cases are considered to analyze the outbreak of Covid-19 pandemic viz., (i) forecasting as per the present trend of rising cases of different countries (ii) forecasting of one week following up with the improvement trends as per China and South Korea, and (iii) forecasting if followed up the progressive trends as per China and South Korea before a week. The results have shown that ANN can efficiently forecast the future cases of COVID 19 outbreak of any country. The study shows that the confirmed cases of India, USA, France and UK could be about 50,000 to 1,60,000, 12,00,000 to 17,00,000, 1,40,000 to 1,50,000 and 2,40,000 to 2,50,000 respectively and may take about 2 to 10 months based on progressive trends of China and South Korea.  Similarly, the death toll for these countries just before controlling could be about 1600 to 4000 for India, 1,35,000 to 1,00,000 for USA, 40,000 to 55,000 for France, 35,000 to 47,000 for UK during the same period of study. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Artificial Neural Network (ANN), coronavirus covid-19, ann-curve fitting, forecast modelling Identifier An unambiguous reference to the resource within a given context DOI: 10.22034/GJESM.2019.06.SI.06 Source A related resource from which the described resource is derived Global Journal of Environmental Science and Management Publisher An entity responsible for making the resource available Global Journal of Environmental Science and Management Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences https://www.socictopen.socict.org/files/original/488c8158c72cbfd2223ea585dc6d2838.pdf 4a8f3017a661fb9fc4f299633e2b2e53 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Spectrum of Neurologic Complications in COVID-19: An Evidence-Based Review Creator An entity primarily responsible for making the resource Puneet Khanna, Surya K Dube, Soumya Sarkar Description An account of the resource The world is facing an unprecedented crisis due to the pandemic of current coronavirus disease 2019 (COVID-19). Coronavirus (CoVs) infections not only are always involving the respiratory tract but also possess significant neuroinvasive potential. The literature regarding neuropathogenic potential of human CoVs is sparse. Thus, the number of COVID-19–related neurologic complications is likely to be underestimated. Awareness regarding the possible spectrum of neurologic complications is essential for therapeutic decision-making and individualized treatment and thereby limiting the COVID-19–related morbidity and mortality. The aim of this review is to address the neurologic manifestations of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Management, complications, Neurology, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1055/s-0040-1713017 Source A related resource from which the described resource is derived Journal of Neuroanaesthesiology and Critical Care Publisher An entity responsible for making the resource available Thieme Publishers Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Anesthesiology https://www.socictopen.socict.org/files/original/6d987393096f3c32676f99518c07efa8.pdf 4d1c03fc9d29ddfbc726f6a31d664601 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification Creator An entity primarily responsible for making the resource Md. Mokhlesur Rahman, Jim Samuel, G. G. Md. Nawaz Ali, Ek Esawi, Yana Samuel Description An account of the resource Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand COVID-19’s informational crisis and gauge public sentiment, so that appropriate messaging and policy decisions can be implemented. In this research article, we identify public sentiment associated with the pandemic using Coronavirus specific Tweets and R statistical software, along with its sentiment analysis packages. We demonstrate insights into the progress of fear-sentiment over time as COVID-19 approached peak levels in the United States, using descriptive textual analytics supported by necessary textual data visualizations. Furthermore, we provide a methodological overview of two essential machine learning (ML) classification methods, in the context of textual analytics, and compare their effectiveness in classifying Coronavirus Tweets of varying lengths. We observe a strong classification accuracy of 91% for short Tweets, with the Naïve Bayes method. We also observe that the logistic regression classification method provides a reasonable accuracy of 74% with shorter Tweets, and both methods showed relatively weaker performance for longer Tweets. This research provides insights into Coronavirus fear sentiment progression, and outlines associated methods, implications, limitations and opportunities. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource machine learning, Twitter, coronavirus, sentiment analysis, COVID-19, textual analytics Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/info11060314 Source A related resource from which the described resource is derived Information Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Information technology